package com.tanhua.dubbo.api;

import cn.hutool.core.collection.CollUtil;
import com.tanhua.model.mongo.RecommendUser;
import com.tanhua.model.mongo.UserLike;
import com.tanhua.model.vo.PageResult;
import org.apache.dubbo.config.annotation.DubboService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Sort;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.aggregation.Aggregation;
import org.springframework.data.mongodb.core.aggregation.AggregationResults;
import org.springframework.data.mongodb.core.aggregation.TypedAggregation;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;

import java.util.List;

@DubboService
public class RecommendUserApiImpl implements RecommendUserApi {

    @Autowired
    private MongoTemplate mongoTemplate;

    //查询今日佳人
    @Override
    public RecommendUser queryWithMaxScore(Long toUserId) {
        //根据toUserId查询，根据评分score排序，获取第一条(最高分数据)
        //构建criteria
        Criteria criteria = Criteria.where("toUserId").is(toUserId);
        //构建Query对象
        Query query = Query.query(criteria).with(Sort.by(Sort.Order.desc("score")))
                .limit(1);
        //调用mongoTemplate查询
        return mongoTemplate.findOne(query, RecommendUser.class);
    }

    //分页查询
    @Override
    public PageResult queryRecommendUserList(Integer page, Integer pagesize, Long userId) {
        Criteria criteria = Criteria.where("toUserId").is(userId);
        Query query = Query.query(criteria);
        //查询总数
        long count = mongoTemplate.count(query, RecommendUser.class);
        //查询数据列表
        query.with(Sort.by(Sort.Order.desc("score"))).limit(pagesize).skip((page - 1) * pagesize);
        List<RecommendUser> recommendUsers = mongoTemplate.find(query, RecommendUser.class);
        //构造返回值
        return new PageResult(page,pagesize,(int)count,recommendUsers);
    }

    @Override
    public RecommendUser queryByUserId(Long userId, Long TouserId) {
        Criteria criteria = Criteria.where("toUserId").is(TouserId).and("userId").is(userId);
        Query query = Query.query(criteria);
        RecommendUser one = mongoTemplate.findOne(query, RecommendUser.class);
        if (one == null) {
            one = new RecommendUser();
            one.setUserId(userId);
            one.setToUserId(TouserId);
            one.setScore(95d);
        }
        return one;
    }

    //查询推荐列表卡片
    //排除喜欢和不喜欢的用户
    //随机展示
    //指定数量
    @Override
    public List<RecommendUser> queryCardsList(Long userId, int i) {
        //1.查询喜欢和不喜欢的用户id
        List<UserLike> likeList = mongoTemplate.find(Query.query(Criteria.where("userId").is(userId)), UserLike.class);
        List<Long> likeUserIds = CollUtil.getFieldValues(likeList, "likeUserId", Long.class);
        //2.构造查询推荐用户的条件
        Criteria criteria = Criteria.where("toUserId").is(userId).and("userId").nin(likeUserIds); //排除用户id列表
        //3.使用统计函数，随机获取推荐的用户列表
        TypedAggregation<RecommendUser> recommendUserTypedAggregation = TypedAggregation.newAggregation(
                RecommendUser.class,          //查询列表
                Aggregation.match(criteria), //指定查询条件
                Aggregation.sample(i));     //指定查询数量
        AggregationResults<RecommendUser> results = mongoTemplate.aggregate(recommendUserTypedAggregation, RecommendUser.class);
        //4.构造返回
        return results.getMappedResults();
    }
}
